This repository contains materials associated with the presentation given by Michael Thomas to the Portland Power BI Users Group on 2021-11-17.
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Clone this repository to your local machine
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Open the noisy.Rproj file from the directory on your local machine where you cloned this repository. This should install the {renv} package if you do not already have it installed, but if you don’t see that happen in the console, run
install.packages("renv"). -
Run
renv::restore()to install the package dependencies needed to run this app successfully
The presentation uses data from data.ct.gov on prison population counts in the State of Connecticut to build time-series forecasting models to forecast the future monthly prison population in the State.
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The data/ folder contains the raw .csv data with the total prison population counts by month
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The forecast.R script builds the ARIMA & RNN (recurrent neural network) models, and simulates the next 12 months of values for the forecasted population
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The interactive_viz_example.R script creates a {plotly} visualization (which is HTML under the hood)
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The CT Prison Population Forecast.pbix file contains the Power BI report used in the presentation
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